Distortion-free boundary extension method for wavelet online denoising

A distortion-free and boundary-free technology, applied in instruments, character and pattern recognition, computer components, etc., can solve problems such as algorithm interference and boundary distortion, and achieve the effect of solving boundary distortion and simple cache operation

Inactive Publication Date: 2017-05-31
HARBIN ENG UNIV
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The four continuation schemes have their own advantages and disadvantages, but they all inevitably in

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  • Distortion-free boundary extension method for wavelet online denoising
  • Distortion-free boundary extension method for wavelet online denoising
  • Distortion-free boundary extension method for wavelet online denoising

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Embodiment Construction

[0023] Below in conjunction with accompanying drawing, the present invention is further described as follows:

[0024] The purpose of the present invention is to provide a distortion-free boundary continuation scheme for wavelet online denoising, so as to suppress the boundary effect of the wavelet algorithm and overcome the algorithm interference defect existing in the traditional continuation scheme. This scheme fills the left and right boundary extensions of each signal data segment with real signal data through a specific buffer operation and timing arrangement, which can not only suppress the boundary effect in the process of piecewise wavelet denoising, but also avoid artificially introduced algorithm interference. It effectively solves the problem of boundary distortion in wavelet online denoising process.

[0025] In the case of high real-time requirements for signal data online denoising processing, the sliding window is usually used to continuously intercept the late...

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Abstract

The invention specifically relates to a distortion-free boundary extension method for wavelet online denoising. The distortion-free boundary extension method comprises the steps of continuously intercepting a latest segment of data xn by adopting a sliding window to perform denoising, wherein xn is finite-length data with the length being N, temporarily storing the data xn, continuously sampling a length of time T, acquiring L pieces of future data f1 at the right boundary of the data xn so as to act as distortion-free extension of the right boundary of the data xn, acquiring M pieces of historical data hm of the left boundary of the data xn through pre-storage so as to act as distortion-free extension of the left boundary of the data xn, and completing information of the right boundary and the left boundary of the data xn. The distortion-free boundary extension method not only can suppress boundary effects in the segmented wavelet denoising process, but also can avoid artificially introduced algorithm interference through simple cache operations and time sequence arrangement, thereby effectively solving a problem of boundary distortion in the online implementing process of wavelet denoising.

Description

technical field [0001] The invention specifically relates to a non-distortion boundary extension method for wavelet online denoising. Background technique [0002] Wavelet denoising method is an excellent signal denoising algorithm, and it is a successful application of wavelet transform theory in the field of signal denoising. Wavelet transform is defined on double infinite intervals, but in practical applications, the signals we deal with are usually of finite length, so there are distortion problems caused by boundary interference. In an offline environment (such as signal data post-processing in a PC environment), longer signal data segments can be processed at one time, and boundary interference can often be ignored. However, for an online denoising environment (such as real-time processing of signal data in an embedded environment), due to real-time requirements, the signal segment processed at one time is short, and the boundary effect will be prominent, resulting in...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06F2218/06
Inventor 张兰勇张青春刘胜郭晓杰李冰王博刘洪丹
Owner HARBIN ENG UNIV
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